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Forecasting Copper Prices Using Deep Learning: Implications for Energy Sector Economies.

• Authors : Derakhshani, Reza; GhasemiNejad, Amin; Amani Zarin, Naeeme

Subjects: CONVOLUTIONAL neural networks; STANDARD deviations; COPPER prices

• Source: Mathematics (2227-7390); Aug2024, Vol. 12 Issue 15, p2316, 10p

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Dynamic relationship between refined and scrap copper prices.

• Authors : Rivera, Nilza; Guzmán, Juan Ignacio

Subjects: COPPER prices; PRICES; COPPER

• Source: Mineral Economics: Raw Materials Report; Jun2024, Vol. 37 Issue 2, p381-392, 12p

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Reliable novel hybrid extreme gradient boosting for forecasting copper prices using meta-heuristic algorithms: A thirty-year analysis.

• Authors : Nabavi, Zohre¹ (AUTHOR) ; Mirzehi, Mohammad¹ (AUTHOR) ; Dehghani, Hesam^1,2 (AUTHOR)

Subjects: *PETROLEUM sales & prices; *COMMODITY futures; COPPER prices

• Source: Resources Policy. Mar2024, Vol. 90, pN.PAG-N.PAG. 1p.

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Forecasting Copper Price with Multi-view Graph Transformer and Fractional Brownian Motion-Based Data Augmentation: Forecasting Copper Price with Multi-view Graph: Sun, Yang, and Zhong.

• Authors : Sun, Qiguo; Yang, Xibei; Zhong, Meiyu

Subjects: GRAPH neural networks; TRANSFORMER models; WIENER processes

• Source: Natural Resources Research; Feb2025, Vol. 34 Issue 1, p253-269, 17p

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Applied Science & Technology Full Text (H.W. Wilson)

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Direct Effect of TC on the LME Copper Prices.

• Authors : Lim, Byungkwon¹ (AUTHOR) ; Kim, Hyeon Sook² (AUTHOR) ; Park, Jaehwan² (AUTHOR)

Subjects: *REGRESSION analysis; *IMPULSE response; COPPER prices

• Source: Economies. Jun2020, Vol. 8 Issue 2, p36. 1p.

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Analyzing the Reaction of Mining Stocks to the Development of Copper Prices.

• Authors : Mendiola, Alfredo; Chavez-Bedoya, Luis; Wallenstein, Thilo

Subjects: COPPER prices; STOCK prices; COPPER miningNEW York (State); TORONTO (Ont.)

• Source: Emerging Markets Finance & Trade; 2022, Vol. 58 Issue 1, p244-266, 23p, 9 Charts

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Applied Science & Technology Full Text (H.W. Wilson)

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New Unit Root Tests in the Nonlinear ESTAR Framework: The Movement and Volatility Characteristics of Crude oil and Copper Prices.

• Authors : Li, Yanglin

Subjects: PETROLEUM sales & prices; ASYMPTOTIC distribution; STATISTICAL smoothing

• Source: Computational Economics; May2024, Vol. 63 Issue 5, p1757-1776, 20p

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Applied Science & Technology Full Text (H.W. Wilson)

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